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DBMS > Sequoiadb vs. Splice Machine vs. TDSQL for MySQL vs. VoltDB

System Properties Comparison Sequoiadb vs. Splice Machine vs. TDSQL for MySQL vs. VoltDB

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Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionNewSQL database with distributed OLTP and SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.sequoiadb.comsplicemachine.comwww.tencentcloud.com/­products/­dcdbwww.voltdb.com
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsplicemachine.com/­how-it-workswww.tencentcloud.com/­document/­product/­1042docs.voltdb.com
DeveloperSequoiadb Ltd.Splice MachineTencentVoltDB Inc.
Initial release2013201420132010
Current release3.1, March 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedLinux
OS X infofor development
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyes infoonly a subset of SQL 99
APIs and other access methodsproprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresJavaScriptyes infoJavayesJava
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlsimple password-based access controlAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptUsers and roles with access to stored procedures

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More resources
SequoiadbSplice MachineTDSQL for MySQLVoltDB
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